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Introduction to classification models by using R and Tidymodels part 3 of 4

Microsoft Reactor
115K subscribers
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436 views Streamed 2 years ago
This is the third episode of a Four-Part Series - An Introduction to R and Machine Learning What is the session about? In this session you'll learn: • When to use classification • How to train and evaluate a classification model using the Tidymodels framework Who is it aimed at? This session is aimed at anyone who would like to get started with data science in R Why should you attend? Get an introduction to classification models and learn how to train a classification model in R Any pre-requisites? • Knowledge of basic mathematics • Some experience programming in R Any pre-requisites? Knowledge of basic mathematics Some experience programming in R Speaker Bio's Carlotta Castellucio – Cloud Advocate, Microsoft Carlotta Castelluccio is a Cloud Advocate at Microsoft, focused on Data Analytics and Data Science. As a member of the Developer Relationships Academic team, she works on skilling and engaging educational communities  …...more
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Learning Objectives

3:03

What Is Classification

3:37

Training a Model

7:05

Evaluating a Binary Classification Model

9:31

Confusion Matrix

11:30

False Negative

12:42

True Negative

13:34

Recall

14:29

Multi-Class Classification Model

16:08

Example a Multi-Class Classification Model

16:14

One versus Rest Approach

16:55

Data Exploration

31:20

Structure the Data

33:52

Prepare the Data for Training

41:02

Function Initial Split

43:17

Multinomial Logistic Regression Model

47:47

Logistic Regression

47:53

Workflow

55:24

The Confusion Matrix

1:02:16

The Roc Curve

1:13:28

What Is the Difference between Accuracy and and Precision

1:27:51

What Are the Pros and Cons of One versus One and One versus Rest Approach

1:29:54
Introduction to classification models by using R and Tidymodels part 3 of 4
This is the third episode of a Four-Part Series - An Introduction to R and Machine Learning What is the session about? In this session you'll learn: • When to use classification • How to train and evaluate a classification model using the Tidymodels framework Who is it aimed at? This session is aimed at anyone who would like to get started with data science in R Why should you attend? Get an introduction to classification models and learn how to train a classification model in R Any pre-requisites? • Knowledge of basic mathematics • Some experience programming in R Any pre-requisites? Knowledge of basic mathematics Some experience programming in R Speaker Bio's Carlotta Castellucio – Cloud Advocate, Microsoft Carlotta Castelluccio is a Cloud Advocate at Microsoft, focused on Data Analytics and Data Science. As a member of the Developer Relationships Academic team, she works on skilling and engaging educational communities to create and grow with Azure Cloud, by contributing to technical learning content and supporting students and educators in their learning journey with Microsoft technologies. Before joining the Cloud Advocacy team, she have been working as an Azure and AI consultant in Microsoft Industry Solutions team, mainly involved in customer-face engagements focused on Conversational AI solutions. Carlotta earned her Master’s Degree in Computer Engineering from Politecnico di Torino and her Diplôme d'ingénieur from Télécom ParisTech, by completing a E+/EU Double Degree Program. Eric is an Early Career Researcher who continually seeks to tackle real-world challenges using applied research, data analytics and machine learning; all wrapped in unbridled empathy and enthusiasm. He is currently a Data Scientist/Researcher at the Leeds Institute for Data Analytics (LIDA) in the University of Leeds, working on the British Academy project undertaking urban transport modelling in Hanoi. He has also done research in robotics, computer vision and speech processing in Japan and Kenya, aimed at creating safe working environments and exploring human-robot interaction in board games. Eric holds a BSc in Electrical and Electronic Engineering (2021) from Dedan Kimathi University of Technology Kenya. He plays the guitar (terribly but passionately). [eventID:16159]

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Microsoft Reactor

115K subscribers
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